Autonomous business monitoring for e-commerce stores
Artificial intelligence (AI), business intelligence (BI) and e-commerce finally combined. INTELLIFANT uses AI and machine learning (ML) to detect anomalies in your online store’s order data.
Do you want to get to know INTELLIFANT as soon as possible? Then register now as an early adopter free of charge and we’ll let you know when it starts.
Autonomous business monitoring for e-commerce stores
Artificial intelligence (AI), business intelligence (BI) and e-commerce finally combined. INTELLIFANT uses AI and machine learning (ML) to detect anomalies in your online store’s order data.
Do you want to get to know INTELLIFANT as soon as possible? Then register now as an early adopter free of charge and we’ll let you know when it starts.
Anomalies in eCommerce order data
What is anomaly detection?
Anomalies in order data are unusual drops or increases in orders. “Autonomous business monitoring” means that anomalies in your order data are detected automatically, without you having to deal with extensive definitions and adjustments to threshold values, as most current BI solutions require.
What are the stages of anomaly detection?
You are automatically informed of the occurrence of an anomaly in the shortest possible time (What happened?). A drill-down in your order statistics shows you the origin of the anomaly (Where did it happen?). This allows you to analyze more quickly what the causes of the anomaly are (Why did it happen?) and how you can fix it (What to do?).
What are the advantages for you?
Let’s be honest. Aren’t we all opportunists? At the end of the day, it’s always about increasing sales and reducing costs. The following areas can benefit from anomaly detection:
Proactive troubleshooting
Proactive troubleshooting
By detecting slumps in orders early on, you can proactively look for potential problems that could have caused these slumps, such as technical issues on the website or problems with certain products.
Optimization of stock levels
Optimization of stock levels
Recognizing order peaks can help you to better manage your stock levels. If you notice that certain products have regular peaks in demand, you can ensure that you have sufficient stock to meet this demand.
Improving the customer relationship
Improving the customer relationship
If you recognize and react to order peaks and slumps, this shows your customers that you are responding to their needs. This can help to improve customer loyalty and satisfaction.
Effective marketing
Effective marketing
Identifying order peaks can also help you to optimize your marketing costs. If you know when demand for certain products is likely to increase, you can adjust your marketing efforts accordingly.
Financial planning
Financial planning
Both order slumps and order peaks can provide important information for your financial planning. Dips could indicate a problem that needs to be addressed, while spikes represent an opportunity for increased revenue.
Simple connection of your online store
In order for INTELLIFANT to recognize the anomalies, you must connect your store to INTELLIFANT. There are three steps to anomaly detection.
Register for free
Grant access to the store & allow data import
Recognize and eliminate causes